10 Privacy Risks to Consider When Using Gen AI

Published On Sat Jul 13 2024
10 Privacy Risks to Consider When Using Gen AI

Biggest risks of using gen AI like ChatGPT, Google Gemini, Microsoft ...

Many consumers are captivated by the capabilities of generative AI, utilizing new tools for various personal and business purposes. However, amidst the excitement, it's crucial to acknowledge the potential privacy risks that come with it.

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Privacy Ramifications and Concerns

While tools like OpenAI's ChatGPT, Google's Gemini, Microsoft Copilot software, and Apple Intelligence are easily accessible and widely used, they come with varying privacy policies regarding user data usage and retention. Oftentimes, consumers are unaware of how their data is being utilized or could potentially be exploited.

Protecting Your Privacy

Prior to selecting a gen AI tool, consumers are advised to thoroughly review the associated privacy policies. It's important to ascertain how your data will be utilized, whether there are options to restrict data sharing, and how long data will be retained. Providers that prioritize privacy will clearly outline these aspects in their policies.

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Privacy-focused browser founder, Andrew Frost Moroz, cautions against inputting sensitive data into AI models without understanding the potential implications. Companies and individuals alike need to exercise caution when sharing confidential information, as AI models may inadvertently access and store sensitive data.

Understanding Opt-Out Options

Each gen AI tool presents users with specific privacy controls and opt-out features. Platforms like Gemini allow users to set retention periods and manage data deletion preferences. Similarly, OpenAI's ChatGPT offers data control settings that enable users to opt out of model training by disabling certain features.

While the integration of gen AI into everyday tools offers convenience, it's crucial for users to be aware of the implications of consenting to data sharing. Microsoft's Copilot for Microsoft 365, for instance, emphasizes user consent for data sharing, providing options for users to enable or disable data sharing features.

Best Practices for Privacy

When utilizing gen AI for information retrieval, experts recommend setting short retention periods and deleting conversations after use to mitigate privacy risks. By proactively managing data shared with AI models, users can reduce the likelihood of sensitive information being misused or exposed.

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Ultimately, staying informed about privacy policies, exercising caution with data sharing, and understanding opt-out options are essential steps in safeguarding personal information when using gen AI tools.